Melanie Sclar
Artificial Intelligence · 2023
A researcher in the Science corpus: 3 papers; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 86 citations into it
- Natural Language Processing — 22 citations into it
- Computer Vision and Pattern Recognition — 21 citations into it
- Evaluation & Benchmarks — 9 citations into it
- Model Architectures — 7 citations into it
- Computer Networks and Communications — 5 citations into it
Whom Melanie Sclar trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Chin-Yew Lin
- Olivier Chapelle
- Geoffrey E. Hinton
- Yoshua Bengio
- Tianqi Chen
- Diederik P. Kingma
- Alex Krizhevsky
- Timo Schick
- Ilya Sutskever
- Tianyu Gao
Papers from Melanie Sclar's perspective
Ordered by how strongly the researchers Melanie Sclar trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting (2023) — 839 citations
- The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning (2023) — 325 citations
- Faith and Fate: Limits of Transformers on Compositionality (2023) — 650 citations